The AI Product Operating System
Where humans and Agents strategize and deliver product portfolio outcomes at AI speed & scale.
AI Product OS
Product Operating Ontology
Intelligent Context Graph
PDLC Orchestration
The infrastructure for product & development organization to strategize and deliver at AI speed
A system where humans, AI agents, and tools effectively analyze, prioritize, and act on portfolio opportunities with shared data context and intelligence.
Bring together:
- The Semantic Layer of your Product Operating Ontology with live, integrated portfolio context.
- Intelligent Operating Context Graph that learns from signals, interactions and decisions.
- Interactive / Collaboration Layer for teams and agents to operate while send feedback to enrich the portfolio context.
AI Product OS
The richest source of product and portfolio context to power your PDLC
An AI-native foundational truth of semantic layer that reflects a living ontology of your product operating model, stitching context across systems, workflows, and interactions to give humans and AI agents a shared reality to drive outcomes.
- Dynamically ingests, normalizes, and maps signals from Dragonboat PM & SPM apps and integrated revenue, customer, BI, and engineering tools.
- Captures institutional knowledge and operational signals to deliver the right context at the right time.
- Preserves trust, security, and governance across all contexts and agents.
Product Operating Ontology
AI that understands your portfolio and recommends the best next step
The Operating Context Graph continuously learns from portfolio signals, human interactions, and execution outcomes to understand the “why” behind every decision. It surfaces risks, trade-offs, and opportunities while ensuring every recommendation is explainable and contextually accurate.
- Powered by AI and proprietary RAG, trained on your unique portfolio and operational data, it codifies domain rules, heuristics, and organizational learning.
- Delivers the right context to humans and agents at inference time, across workflows, roles, and systems.
- Continuously synthesizes operational signals, interactions, and feedback loops to improve recommendations at scale.
Intelligent Context Graph
Collaboration & execution powered by built-in intelligence, operating context, and embedded agents
AI powered apps enable leaders, teams and stakeholders analyze, strategize, plan, and deliver faster—with clarity and confidence.
- Operate across Strategy, Intake, Roadmap, Demand & Capacity, and PDLC Delivery—across roles and decision types.
- Embedded agents assist with recommendations, triggers, and workflow automation.
- Every action enriches portfolio context, sharpening AI guidance and accelerating smarter decisions.
PDLC Orchestration
Trusted by 6,000+ teams in large-scale product organizations
Your entire PDLC – elevated by Dragonboat AI
Powered by Intelligent Operating Context Graph, your crew of Dragonboat AI superpowers product portfolio teams: automate workflows, uncover actionable insights, and enhance human expertise. Ambient agents handle routine tasks, embedded AI delivers in-context recommendations, and the conversational Assistant helps teams explore and act across strategy, product, and delivery — with humans always in control of strategic decisions.
Ambient Agents
Ambient AgentsLike your AI teammate, ambient agents run continuously in the background, powered by Portfolio Intelligence and the Product Operating Context Graph. They surface risks, spot opportunities, and take proactive action, eliminating up to 80% of manual work. They can also be invoked by users, other AI agents, or Dragonboat assistants to support faster, smarter decisions.
Meet some of your AI helpers:
- AI Delivery Tracker: Detects delivery risks, dependency bottlenecks, scope creep, and delays before they impact roadmaps.
- AI Ops Reporter: Summarizes and shares stakeholder status updates automatically, reducing repetitive manual work.
- AI Investment Monitor: Flags over- or under-invested initiatives to keep resources and budgets aligned.
- AI Strategic Advisor: Spots misalignment between initiatives and strategic priorities so teams can adjust proactively.
Embedded AI
Embedded AIEmbedded agents act like on-demand experts, delivering in-context recommendations, analysis, and outputs that require review or collaboration with users and stakeholders. Powered by the Product Operating Context Graph, they tackle complex or nuanced tasks, proposing actionable options so teams can decide, adjust, and execute with confidence.
Meet some of your AI experts:
- Thematic Insight Analyzer: Detects patterns in customer feedback or usage data to guide prioritization.
- PRD Generator: Drafts product requirement documents for review and refinement.
- Scenario Planner: Creates roadmap sequences and optimized plans to evaluate trade-offs.
- Ripple Effect Assessor: Traces ripple effects of proposed changes across the strategic product portfolio.
AI Assistant
AI AssistantLike a personalized ChatGPT, it helps product managers, product ops, executives, and even stakeholders get answers, take actions, and explore product and portfolio data—wherever they work (in-app, Slack, Teams, Copilot, or MCP). It can invoke agents, trigger actions, and even customize Dragonboat UI for your workflow.
- Conversational & accessible: In-app, Slack, Teams, Copilot, or MCP.
- Action-oriented: Provides answers or triggers actions, working seamlessly with ambient and embedded agents.
- Personalized interface: Customizes Dragonboat pages or views to fit your workflow and preferences.
Winning Teams Run Products on Dragonboat AI OS
Drive product outcomes at scale with speed and clarity.
“We use Dragonboat extensively (to manage this product). With over 3,500 epics, launched in 9 months, from beginning to end. A monumental achievement.”
Rob Seidman
Chief Product Officer, POS Lending/ BNPL, U.S. Bank
“With Dragonboat, the biggest efficiency gain has been our say-do ratio. With repeat PI planning and clearer process, we hold ourselves to what we commit and if priorities shift mid-release, we can adjust based on real-time data. When we analyzed the first year, we unlocked roughly 2,000 story points — not from new headcount, but from the same pods getting better at estimation.”
Greg Shintani
Sr. Principal Program Manager, Product Strategy & Operations, Cornerstone
“Dragonboat gave us a source of truth across products, initiatives, programs, and multiple Jira instances ‒ replacing manual reporting with real‑time visibility. It was a visibility issue and complexity that Jira alone couldn’t solve, that Dragonboat helps us manage at scale.
Lucas Smith
Director Agile & Program Services, Toyota Connected
Strategize, plan and deliver product outcomes with speed at scale across PDLC
Faster Planning
Higher Resource Yield
Better On-target Delivery
Seamless Integrations for Product Portfolio Context Orchestration
Accelerate Outcomes with 
AI Product OS
AI Product OSFrequently Asked Questions
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What is Dragonboat’s Product Operating Context Graph?
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